Wednesday

Wednesday
10 July 2019
Time	Concorde 1+2	Cassiopée	Caravelle 2	Saint-Exupéry	Ariane 1+2	Guillaumet 1+2
	Keynote
10:00	R for better science in less time Julia Stewart Lowndes
	Data handling	Education	Models 1	Shiny	Applications 1	Multivariate analysis
11:30	Enhancements to data tidying Hadley Wickham	Mathematical Modeling with R: Embedding Computational Thinking into High School Math Classes in the United States Kenia Wiedemann	A Generalized Framework for Parametric Regression Splines Georges MonetteJohn Fox	Logging and Analyzing Events in Complex Shiny Apps Kamil Wais	Application of WRSS in Water and Energy Analysis; An object oriented R package for large-scale water resources operation Rezgar Arabzadeh	ClustBlock: a package for clustering datasets Fabien Llobell
11:48	n() cool #dplyr things Romain Francois	Teaching data science with puzzles Irene Steves	Regularized estimation of the nominal response model Michela Battauz	mwshiny: Connecting Shiny Across Multiple Windows Hannah De Los Santos	An R Package for the Distributed Hydrological Model GEOtop Emanuele Cordano	ordinalClust: an R package for analyzing ordinal data. Margot Selosse
12:06	You don't need Spark for this - larger-than-RAM data manipulation with disk.frame Zhuo Jia Dai	Teaching R and statistics to higher degree research students and industry professionals Alethea Rea	merlin - mixed effects regression for linear and nonlinear models Alessandro Gasparini	Shiny app deployment and integration into a custom website gallery Riccardo PorrecaRoland Schmid	Big data analysis for power plant operational data for optimizing engineering design in R / Shiny Friedrich-Claus Grueber	funHDDC, a R package to cluster univariate and multivariate functional data Amandine Schmutz
12:24	Data frames for grouped data: the gdata.frame package Yves Croissant	ghclass: an R package for managing classes with GitHub Colin Rundel	Modern likelihood-frequentist inference with the likelihoodAsy package Ruggero Bellio	Automated Surveys and Reports for Expert Elicitation with Shiny Machteld Varewyck	Anomaly Detection in R Priyanga Dilini Talagala	Using the package `simple features` (sf) for sensitivity analysis Maikol Solís
12:42	git2rdata: storing dataframes in a plain text format suitable for version control Thierry Onkelinx	Data Science in a Box Mine Cetinkaya-Rundel	General-to-Specific (GETS) Modelling with User-Specified Estimators and Models Genaro Sucarrat		Collective and Point Anomaly Detection in R Daniel Grose	Visualizing multivariate linear models in R Michael Friendly
	Shiny 2	Applications 2	Social science, marketing & business	Reproducibility	Movement & transport	Bioinformatics 1
14:00	Golem : A Framework for Building Robust & Production Ready Shiny Apps Vincent Guyader	Using AI and R to help improve the quality and health of your personalised food basket. Peter Jaksons	Visualisation of open-ended interviews through qualitative coding and cognitive mapping Frédéric Vanwindekens	Package flextable: a grammar to produce tabular reporting from R Quentin Fazilleau	Navigating through the R packages for movement Rocio Joo	Multi-data learning with M-ABC: extending your ABC's Marijke Van Moerbeke
14:18	Art of the Feature Toggle: Patterns for maintaining and improving Shiny applications over time Kelly Obriant	Variation of patient turnover on a 30-minutes basis for 3 years: analysis of routine data of a Swiss University Hospital Sarah N. Musy	choicetools: a package for conjoint analysis and best-worst surveys Chris Chapman	Connecting R/R Markdown and Microsoft Word using StatTag for Collaborative Reproducibility Leah Welty	Classes, methods and data analysis for trajectories Mohammad Mehdi Moradi	Fast and Optimal Peak Detection in Large Genomic Data via the PeakSegDisk Package Toby Hocking
14:36	Data for all: Empowering teams with scalable Shiny applications Alexandra TurcanRuan Pearce-Authers	Bridging agent-based modelling and R with nlrx: simulating pedestrian's long-term exposure to air pollution Hyesop Shin	Robust mediation analysis using the R package robmed Andreas Alfons	The "Rmd first" method: when projects start with the documentation Sébastien Rochette	Modelling spatial flows with R Christine Thomas-Agnan	PEREpigenomics: a shiny app to visualize Roadmap Epigenomics data Guillaume Devailly
14:54	Best practices for building Shiny enterprise applications Filip Stachura	Simulation of the physical movement for Machine Learning with R: Simulation of Robot gait Optimization Using GA Hae-Yoon Jung	propro: Enhancing Discovered Process Models using Bayesian Inference and MCMC Gert Janssenswillen	R gnumaker: easy Makefile construction for enhancing reproducible research Peter Baker	R for Transport Planning Robin Lovelace	clustDRM: an R package and Shiny app for modeling high- throughput dose-response data Vahid Nassiri
	Keynote
16:00	A missing value tour in R Julie Josse
For the official useR 2019 website, including conference information and tutorial schedule, visit user2019.fr.

Thursday

Thursday
11 July 2019
Time	Concorde 1+2	Cassiopée	Caravelle 2	Saint-Exupéry	Ariane 1+2	Guillaumet 1+2
	Keynote
09:15	Shiny's Holy Grail: Interactivity with reproducibility Joe Cheng
⚡	Workflow & development	Text mining	Spatial & time series	Open science, education & community	Biostatistics & epidemiology
10:25	Transitioning between various RMarkdown packages for workflow optimization in academic research; a graduate student's perspective. Brent Thorne	{polite} - web etiquette for R users Dmytro Perepolkin	R in the Air Enrico SpinielliTamara Pejovic	Open-access software for research: beyond data analysis Saras Windecker	A Shiny Webapp for nutritional reformulation of food products according to French front-of-pack “Nutri-Score” label. Romane Poinsot
10:30	An Approach to Project Workflow for Professional Biostatistical Services Paul Stevenson	The R Package sentometrics to Compute, Aggregate and Predict with Textual Sentiment Samuel Borms	Measuring inequalities from space. Analysis of satellite raster images with R Piotr Wójcik	Teaching reproducible spatial analysis in R Angela Li	Using Shiny to track winter pressures in the UK National Health Service (NHS) Fiona Grimm
10:35	ropsec: a package for easing operations security for the R user Ildiko Czeller	BibliographeR : a set of tools to help your bibliographic research Cécile SauderJean Delmotte	SILand: an R package for estimating the spatial influence of landscape Florence Carpentier	Use aRt to learn algorithms, math, and R William Chase	antibioticR: An R package to identify resistant populations in environmental bacteria Thomas Petzoldt
10:40	compareWith - user-friendly diff viewing and VCS interaction Nicoletta Farabullini	ggwordcloud: a word cloud geometry for ggplot2 Erwan Le Pennec	Spatio-temporal Analysis of Diabrotica Emergence Rodelyn Jaksons	The evolution and importance of the R-Ladies São Paulo chapter in Brazil Beatriz Milz	MR studies in R: how to use genetic information for identifying modifiable risk factors Daniela Mariosa
10:45	goodpractice - A Tool for Good Package Development Hannah Frick	Die Nutella oder Das Nutella? Grammatical Gender Prediction of German Nouns Chung-Hong Chan	Navigating spatial data management and analysis in Sustainable Fisheries using a combined R-Python approach Annette Scheffer	Building Active Community at Your Place Binod Jung Bogati	Streamlining complex analyses of in-vivo data with INVIVOLDA shiny application Volha Tryputsen
10:50	rt - R Tools for the Command Line Jakob Richter	Implementing a Classification and Filtering App for Multilingual Facebook Comments – A Use Case Of Data For Good with R Johannes Müller	Dealing with the change of administrative divisions over time Kim Antunez	Scaling useR Communities with Engagement and Retention Models Eyitayo Alimi	A shiny web application for disease mapping. Making easy the fit of spatio-temporal models. Aritz Adin
10:55		queryMed: Linking pharmacological and medical knowledge using semantic Web technologies Nolwenn Le Meur	persephone, seasonal adjustment with an object-oriented wrapper for RJDmetra Gregor De Cillia
	Communities & conferences	Data mining	Models 2	Programming 1	Forecasting	Biostatistics & epidemiology 1
11:30	R for Data Science Online Community Dennis Irorere	Machine Learning with R: do it with a framework Eric Lecoutre	Using Rcpp* packages for easy and fast Gibbs sampling MCMC from within R Ghislain VieilledentJeanne Clément	HTTP Requests For R Users and Package Developers Scott Chamberlain	Flexible futures for fable functionality Mitchell O'hara-Wild	Reproducible data science to support outbreak responses: experience from the North Kivu Ebola outbreak Thibaut Jombart
11:48	Insights from the recent R community development and growth in Latin America Laura Acion	Building and Benchmarking Automatic Machine Learning Systems Erin Ledell	A toolbox for fitting non-separable space-time log-Gaussian Cox models using R-INLA Elias Krainski	R and security Colin Gillespie	Feature-based Time Series Forecasting Thiyanga Talagala	Advancing data analytics for field epidemiologists using R: the R4epis innovation project Zhian Kamvar
12:06	AfricaR Dennis IrorereShel Kariuki	mlr3: A new modular framework for machine learning with R Michel Lang	Adaptive Bayesian SLOPE -- High-dimensional Model Selection with Missing Values Wei Jiang	DRY out your workflow with the usethis package Jennifer Bryan	Random forests for time series Benjamin GoehryHui Yan	micemd: a smart multiple imputation R package for missing multilevel data Vincent Audigier
12:24	The truth about satRdays (panel session, part 1) Noa TamirColin GillespieRiva QuirogaVincent Warmerdam	mlr3pipelines: Machine Learning Pipelines as Graphs Bernd Bischl	REndo: An R Package to Address Endogeneity Without External Instrumental Variables Raluca Gui	Reusing tidyverse code, the easy way Lionel Henry	Smooth forecasting in R Ivan Svetunkov	Facilitating external use with user-friendly interfaces: a health policy model case study Iryna Schlackow
12:42	The truth about satRdays (panel session, part 2) Noa TamirColin GillespieRiva QuirogaVincent Warmerdam		Discovering the cause: Tools for structure learning in R Anne Helby Petersen	Simple Arrays Davis Vaughan	Forecast Combination in R Eran Raviv	genogeographer - a tool for ancestry informative markers Torben Tvedebrink
	Operations & data products	Programming 2	Numerical methods	Visualisation	Spatial data & maps	Bioinformatics 2
14:00	How a non-profit uses R for its daily operations Francois Michonneau	Sustainable Package Development Tomas Kalibera	Analysing results from Monte Carlo simulation studies using the rsimsum package and the INTEREST shiny app Alessandro Gasparini	colorspace: A Toolbox for Manipulating and Assessing Color Palettes Achim Zeileis	Strengthening of R in support of spatial data infrastructures management: geometa and ows4R packages Emmanuel Blondel	Interfacing R/Bioconductor with Hail, a Spark-based platform for genomics Michael Lawrence
14:18	rjenkins and rrundeck: Coordinating Continuous Integration and Delivery with R Daan Seynaeve	Typing R Elie Canonici Merle	Algorithmic Differentiation in R using the RcppEigenAD package Robert Crouchley	Vegawidget: Composing and Rendering Interactive Vega(-Lite) Charts Ian Lyttle	Resample-smoothing of Voronoi intensity estimators Ege Rubak	iSEE: interactive and reproducible exploration and visualization of genomics data Federico Marini
14:36	Advanced Git Integrations for Automating the Delivery of Reproducible Data Products in R Kelly Obriant	nCompiler: C++ code-generation from R code Perry De Valpine	Describing and solving differential equations with a new domain specific language, odin Richard Fitzjohn	Visualising high-dimensional data: new developments of the tourr package using Shiny and plotly Ursula Laa	Thematic mapping with "cartography" Timothée Giraud	POMA: Shiny tool for targeted metabolomic data statistical analysis and visualization Pol Castellano-Escuder
14:54	GitHub actions for R Verena HeldMax Held	Mixed interactive debugging of R and native code with FastR and Vistual Studio Code Zbynek Slajchrt		xstatR: an Environment for Running R and XLISP-STAT in Docker Containers Jim Harner	Creating privacy protecting density maps: sdcSpatial Edwin De Jonge
	Keynote
16:00	How Bioconductor advances science while contributing to the R language and community Martin Morgan
For the official useR 2019 website, including conference information and tutorial schedule, visit user2019.fr.

Friday

Friday
12 July 2019
Time	Concorde 1+2	Cassiopée	Caravelle 2	Saint-Exupéry	Ariane 1+2	Guillaumet 1+2
	Keynote
09:15	Tools for Model-Based Clustering in R Bettina Grün
⚡	Shiny & web	Methods & applications	Models & methods	Switching to R	Bioinformatics & biostatistics
10:25	Native Chrome Automation using R Christophe DervieuxRomain Lesur	fxtract - Feature Extraction from Grouped Data Quay Au	Adjusting reviewer scores for a fairer assessment via multi-faceted Rasch modelling Caterina Constantinescu	The transition from conventional tools in banking to R Balazi Peter	rGSAn: a R package dedicated to the gene set analysis using semantic similarity measures. Aarón Ayllón-BenítezPatricia Thebault
10:30	Our journey with Shiny : some packages to enhance your applications Victor PerrierFanny Meyer	Spatial Optimisation with OSRM and R Megan Beckett	Penalized regressions to study multivariate linear models : the VariSel package. Marie Perrot-Dockès	R++, a new Graphical User Interface for R Christophe Genolini	Pathway-VisualiseR: An Interactive Web Application for Visualising Gene Networks Goknur GinerAlexandra Garnham
10:35	auth0: Secure Authentication in Shiny with Auth0 Julio Trecenti	Anomaly detection in trivago Peter Brejcak	Maximum spacing estimation, a new method in fitdistrplus Christophe Dutang	R in Pharma: A tailored approach to converting programmers to R in an industry resistant to change Kieran Martin	Compiling a global database of sapflow measurements with R: Workflow and tools for the SAPFLUXNET database Víctor Granda
10:40	Packaging shiny applications Maxim Nazarov	Using R and the Tidyverse to Play Fantasy Baseball Angeline Protacio	rama: an R interface to the GAMA agent-based modeling platform Marc Choisy	Community Driven Data Science in Insurance Kevin Kuo	Bayesian sequential integration within a preclinical PK/PD modeling framework using rstan package: Lessons learned Fabiola La Gamba
10:45	Photon : Building an electron-shiny app using a simple RStudio add in. Abbas Rizvi	Optimizing children sleeping time using regression and machine learning Alicja Fras	RcppGreedySetCover: Scalable Set Cover Kaeding Matthias	unconfUROS and one of its outputs vornoiTreemap Alexander Kowarik	VICI: a Shiny app for accurate estimation of Vaccine Induced Cellular Immunogenicity with bivariate modeling Boris Hejblum
10:50	Visualizing Huge Amounts of Fleet Data using Shiny and Leaflet Andreas Wittmann		The GPareto and GPGame packages for multi and many objective Bayesian optimization Mickaël Binois	An R implementation of a model-based estimator – a UK case study Konstantinos Soulanis	Tools for 3D/4D interactive visualisation of cells and biological tissue Marion Louveaux
10:55				Using advanced R packages for the visualisation of clinical data in a cancer hospital setting Roxane Legaie	Analysis of laboratory test requests in a university hospital: A Shiny App for association analysis as a demand management tool Deniz Topcu
	Contribution & collaboration	Model deployment	Big/high dimensional data	Performance	Time series data	Biostatistics & epidemiology 2
11:30	How to win friends and write an open-source book Jakub NowosadRobin Lovelace	Machine Learning Infrastructure at Netflix Savin Goyal	prVis: a Novel Method for Visual Dimension Reduction Norman MatloffTiffany JiangWenxuan ZhaoRobert Tucker	pak: a fresh approach to package installation Gábor Csárdi	timeseriesdb - Manage, Process and Archive Time Series with R and PostgreSQL Matthias Bannert	Implementation and analysis design of an adaptive-outcome trial in R Alessio Crippa
11:48	Making sense of CRAN: Package and collaboration networks Ioannis Kosmidis	Deploying machine learning models at scale Angus Taylor	PLS for Big Data: A Unified Parallel Algorithm for Regularized Group PLS Benoit Liquet	Summary of developments in R's data.table package Arun Srinivasan	A feast of time series tools Rob Hyndman	Advances in dose-response analysis Christian RitzJens C. Streibig
12:06	RWsearch: a package for CRAN users and task view maintainers Patrice Kiener	Serverless Computing for R Christoph BodnerThomas Laber	multiDA and genDA: Discriminant analysis methods for large scale and complex datasets Sarah Romanes	Real-time file import with the vroom package Jim Hester	tsbox: Class-Agnostic Time Series Christoph Sax	The next generation of the survival package Terry Therneau
12:24	Translating datasets using "datalang": the development of "datos" package for the R4DS Spanish translation Riva Quiroga	A DevOps process for deploying R to production David Smith	compboost: Fast and Flexible Component-Wise Boosting Framework Daniel Schalk	A Future for R: Simplified Parallel and Distributed Processing Henrik Bengtsson	RJDemetra: an R interface to JDemetra+ seasonal adjustment software Alain Quartier-La-Tente	A flexible approach to time-to-event data analysis using case-base sampling Jesse Islam
12:42	R Consortium Working Groups Joseph Rickert	Authentication and authorization in plumber with the sealr package Friedrike Preu	How to speed-up VSURF (Variable Selection Using Random Forests)? Robin Genuer	FastRCluster: running FastR from GNU-R Stepan Sindelar	Experiences from dealing with missing values in sensor time series data Steffen Moritz	The R package mixmeta: an extended mixed-effects framework for meta-analysis Antonio Gasparrini
14:15	'AI for Good' in the R and Python ecosystems Julien Cornebise
	Keynote
For the official useR 2019 website, including conference information and tutorial schedule, visit user2019.fr.

Wednesday

Thursday

Friday

Abstracts